What is statistical inference?

Statistical inference is the process whereby you can draw conclusions about a population based on random samples of that population and the statistics that you draw from those samples. When you rely on statistical inference, you take what you've observed about your samples of that population and apply them to the group as a whole. Applying statistical inference allows you to take what you know about the population as well as what's uncertain to make statements about the entire population based on your analysis.

Why is it important to learn about statistical inference?

If you want to learn about a certain population—whether they're customers or fellow employees—you can use statistical inference to draw conclusions about that population based on your analysis of data about them. You can't always survey or test an entire population to gain insight, but you can sample the population and make educated assumptions based on the data. Understanding statistical inference allows you to take that data and use it to draw conclusions that make sense and prove true.

How can I apply statistical inference in my career?

Statistical inference has plenty of benefits for different business sectors. Statisticians and data analysts use this method often to draw conclusions based on samples of populations. If you're in sales or product development, you can use statistical inference to determine which brands or products are popular with your customers or clients. Scientists use statistical inference to test hypotheses and draw conclusions when it's impossible for them to test or sample an entire population. You can apply statistical inference to analyze the data from surveys of any population that you sample.

How can online courses on Coursera help me learn about statistical inference?

Online courses on Coursera give you both a grasp of the concepts of statistical inference and practical applications. You'll learn from the best instructors in the academic world, and you can learn at a pace and schedule that best suits your schedule and lifestyle. When you finish our courses, you'll know how to use statistical inference in your career, which will give you an advantage whether you're trying to get better at your current job or whether you're looking to make a career change.

What are the benefits of taking an online Statistical Inference course?

Online Statistical Inference courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Inference skills. Choose from a wide range of Statistical Inference courses offered by top universities and industry leaders tailored to various skill levels.

What Statistical Inference courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Statistical Inference, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Statistical Inference Courses - Learn Statistical Inference Online

Explore the Statistical Inference Course Catalog

UNSW Sydney (The University of New South Wales)
Remote Sensing Image Acquisition, Analysis and Applications
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks
4.7
Rating, 4.7 out of 5 stars
167 reviews
Intermediate · Course · 3 - 6 Months
Campus BBVA
Business Analytics
Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Statistics, Big Data
4.5
Rating, 4.5 out of 5 stars
165 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Outbreaks and Epidemics
Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Public Health and Disease Prevention, Biostatistics, Laboratory Testing, Statistical Analysis, Probability & Statistics, Research Methodologies, Report Writing
4.8
Rating, 4.8 out of 5 stars
752 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google Cloud
Recommendation Systems on Google Cloud
Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Feature Engineering, Predictive Modeling, Data Processing
4.5
Rating, 4.5 out of 5 stars
478 reviews
Advanced · Course · 1 - 3 Months
Amazon Web Services
Introduction to Machine Learning on AWS
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing
4.5
Rating, 4.5 out of 5 stars
136 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Universidad de los Andes
Introducción a la ciencia de datos aplicada
Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking
4.7
Rating, 4.7 out of 5 stars
400 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado System
Introduction to Clinical Data Science
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Information Privacy, Health Care Procedure and Regulation, Data Manipulation, SQL, Data Access
4.5
Rating, 4.5 out of 5 stars
413 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
435 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Johns Hopkins University
Clinical Trials Data Management and Quality Assurance
Skills you'll gain: Clinical Data Management, Data Quality, Quality Assurance, Clinical Trials, Data Cleansing, Data Integrity, Data Governance, Microsoft Excel, Data Compilation, Data Collection, Data Sharing, Data Security, Patient Treatment
4.8
Rating, 4.8 out of 5 stars
154 reviews
Beginner · Course · 1 - 3 Months
IBM
Scalable Machine Learning on Big Data using Apache Spark
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis
3.8
Rating, 3.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
Universidad Austral
Conceptos base para el estudio del medio ambiente
Skills you'll gain: Environmental Science, Chemistry, Biology, Environment, Data Analysis, Environmental Engineering, Physical Science, Life Sciences, Biochemistry, Statistical Analysis, Probability & Statistics, Physics
4.7
Rating, 4.7 out of 5 stars
527 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
4.4
Rating, 4.4 out of 5 stars
187 reviews
Intermediate · Course · 1 - 3 Months